Examples of AparapiReLU

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiReLU

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      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      AparapiReLU c = new AparapiReLU();
      c.addActivationFunction(new SoftmaxFunction());
      lc.addConnectionCalculator(l, c);
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiReLU

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    }
   
    public static RBMLayerCalculator rbmReluRelu(RBM rbm) {
  RBMLayerCalculator lc = new RBMLayerCalculator();

  AparapiReLU c1 = new AparapiReLU();
  c1.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getVisibleLayer(), c1);

  AparapiReLU c2 = new AparapiReLU();
  c2.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getHiddenLayer(), c2);

  populateBiasLayers(lc, rbm);

  return lc;
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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiReLU

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      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      lc.addConnectionCalculator(l, new AparapiReLU());
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiReLU

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  return new RBMLayerCalculator(rbm, batchSize, c1, c2, c3);
    }
   
    public static RBMLayerCalculator rbmReluRelu(RBM rbm, int batchSize) {
  AparapiReLU c1 = new AparapiReLU();

  AparapiReLU c2 = new AparapiReLU();

  AparapiReLU c3 = new AparapiReLU();

  return new RBMLayerCalculator(rbm, batchSize, c1, c2, c3);
    }
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